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Huggingface Jobs in Illinois (NOW HIRING)

Acuity, Inc.

Data Scientist

Virginia, IL · On-site

Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. * Demonstrated experience creating machine learning models that conduct text classification and ...

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$7

$23

$54

How much do huggingface jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for huggingface in Illinois is $23.11, according to ZipRecruiter salary data. Most workers in this role earn between $13.29 and $27.00 per hour, depending on experience, location, and employer.

What is a Huggingface job?

A Hugging Face job typically refers to a role at Hugging Face, a company specializing in machine learning and natural language processing (NLP). Employees at Hugging Face work on developing and maintaining open-source AI tools, including the popular Transformers library. Roles range from research and engineering to product and community development, often focusing on advancing state-of-the-art AI models.

What does a typical day look like for an engineer working at Hugging Face?

As an engineer at Hugging Face, your day typically involves collaborating with team members to design, develop, and improve state-of-the-art machine learning models and tools, with a strong focus on open-source NLP projects. You’ll participate in code reviews, experiment with new technologies, engage with the community through forums or GitHub, and help support user questions or issues. Expect a fast-paced, collaborative environment where cross-functional teamwork with product managers, researchers, and other engineers is common. The work is project-driven, with plenty of opportunities to contribute ideas, learn from experts, and advance your technical skills.

What are the key skills and qualifications needed to thrive in the Huggingface position, and why are they important?

To thrive in a role at Hugging Face, you typically need strong skills in machine learning, natural language processing (NLP), and software development, supported by a relevant degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, plus experience using version control systems such as Git, are often required; open-source contributions and cloud platform knowledge are a plus. Excellent communication, collaborative teamwork, and problem-solving abilities help candidates stand out in this dynamic, innovation-driven environment. These strengths are crucial because they enable individuals to develop high-impact AI tools, work effectively in interdisciplinary teams, and contribute to open-source communities.

What are the most commonly searched types of Huggingface jobs in Illinois?

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For Huggingface jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Huggingface jobs in Illinois look for?

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Huggingface jobs near you
Infographic showing various Huggingface job openings in Illinois as of September 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $48,078 per year, or $23.1 per hour.

AI Engineer - FDE (Forward Deployed Engineer)

Chicago, IL • On-site

Vibehackers
See more jobs at Vibehackersexternal

$152K - $210K/yr

Other

Posted 5 days ago

Job description

Directly focused on GenAI/LLM development and LLMOps using tools like LangChain and HuggingFace - very aligned with vibe coding for rapid AI prototyping and deployment.

About the Role

Customer-facing AI Forward Deployed Engineer at Databricks responsible for designing, building, and productionizing GenAI and LLM applications at scale for customers. The role combines hands-on engineering, deployment, and technical advisory work and is open to remote locations.

Job Description Role

AI Forward Deployed Engineer (AI FDE) at Databricks - a customer-facing engineering role delivering professional services to design, build, and productionize GenAI and LLM applications at scale. The team works cross-functionally with product, engineering, and developer relations and is open to remote locations.

Key Responsibilities
  • Develop cutting-edge GenAI solutions incorporating Databricks AI research.
  • Own production rollouts of consumer-facing and internal GenAI applications.
  • Serve as a trusted technical advisor to customers across domains and present at conferences (e.g., Data + AI Summit).
  • Collaborate with product and engineering teams to influence priorities and shape the product roadmap.
  • Travel to customer sites as needed (approximately once every 4-8 weeks).
Requirements
  • Industry experience designing, building, and deploying production GenAI and LLM applications (including RAG, multi-agent systems, Text2SQL, fine-tuning).
  • Experience with tools and libraries such as HuggingFace, LangChain, and DSPy.
  • Extensive hands-on data science experience using tools like pandas, scikit-learn, and PyTorch.
  • Experience building production-grade ML deployments on cloud platforms (AWS, Azure, or GCP).
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience preferred.
  • Strong ability to communicate and teach technical concepts to both technical and non-technical audiences.
  • Preferred: experience using the Databricks Intelligence Platform and Apache Spark for large-scale distributed data processing.
Compensation

Local pay range: $152,900 - $210,155 USD. Total compensation may include eligibility for annual performance bonus, equity, and region-specific benefits.

Skills

GenAI application development LLMOps Production deployment Model evaluation & optimization Data science Large-scale data processing Cross-functional collaboration Customer-facing consulting Technical communication Presentation & thought leadership Teaching and mentoring Research translation

Experience Level

Senior

USD 152,900 - 210,155/year

  • Open to remote locations
  • Eligibility for annual performance bonus
  • Region-specific comprehensive benefits
  • Travel to customers (~every 4-8 weeks as needed)
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